{\footnotesize 
{ \renewcommand{\arraystretch}{1.2} 
\begin{table} 
\hspace*{-2.5cm} 
\begin{tabular}{cc ccc ccc ccc} 
\hline 
 Method & &  $\alpha_{1}$ &  $\alpha_{a}$ &  $\alpha_{\rho}$ &  $\alpha_{\lambda}$ &  $\beta_{1}$ &  $\beta_{a}$ &  $\beta_{\rho}$ &  $\beta_{\lambda}$ &  $\sigma^{2}_{y}$  \\ \hline  \hline
\rowcolor{LightCyan}DA & Mean 
 & 0.5139  & 1.4680  & -1.0144  & -4.5956  & -0.1328  & -0.2569  & -0.3182  & -0.3530  & 67937.2082  \\  [0.75ex] 
 & (Std) 
 & (0.0719)  & (0.0725)  & (0.0841)  & (0.0355)  & (0.0727)  & (0.0458)  & (0.0539)  & (0.0394)  & (38062.9218)  \\  [0.75ex] 
 & ESS 
 & 49.0708  & 26.6746  & 20.7030  & 204.4586  & 94.2887  & 60.0030  & 18.8102  & 1154.8894  & 20.8366  \\  [0.75ex] 
[619.76 s]  & ESS/sec. 
 & 0.0792  & 0.0430  & 0.0334  & 0.3299  & 0.1521  & 0.0968  & 0.0304  & 1.8634  & 0.0336  \\  [1.3ex] 
\rowcolor{LightCyan}Adapt10 & Mean 
 & 0.5155  & 1.4380  & -1.0388  & -4.6000  & -0.1596  & -0.2461  & -0.3418  & -0.3511  & 89888.3803  \\  [0.75ex] 
 & (Std) 
 & (0.0784)  & (0.0742)  & (0.1126)  & (0.0347)  & (0.0915)  & (0.0519)  & (0.0788)  & (0.0399)  & (75471.3448)  \\  [0.75ex] 
 & ESS 
 & 96.7339  & 34.7427  & 17.3727  & 276.3992  & 262.5222  & 62.8243  & 13.7917  & 1157.4457  & 6.0538  \\  [0.75ex] 
[530.05 s]  & ESS/sec. 
 & 0.1825  & 0.0655  & 0.0328  & 0.5215  & 0.4953  & 0.1185  & 0.0260  & 2.1836  & 0.0114  \\  [1.3ex] 
\rowcolor{LightCyan}Adapt20 & Mean 
 & 0.5078  & 1.4172  & -0.9436  & -4.6028  & -0.1583  & -0.2625  & -0.2641  & -0.3495  & 98875.8844  \\  [0.75ex] 
 & (Std) 
 & (0.0739)  & (0.0623)  & (0.0835)  & (0.0352)  & (0.0858)  & (0.0615)  & (0.0702)  & (0.0401)  & (64465.0832)  \\  [0.75ex] 
 & ESS 
 & 153.6913  & 41.8188  & 27.1459  & 473.0174  & 287.5131  & 78.4918  & 18.1539  & 1343.9316  & 13.9341  \\  [0.75ex] 
[463.52 s]  & ESS/sec. 
 & 0.3316  & 0.0902  & 0.0586  & 1.0205  & 0.6203  & 0.1693  & 0.0392  & 2.8994  & 0.0301  \\  [1.3ex] 
\rowcolor{LightCyan}Adapt30 & Mean 
 & 0.5171  & 1.4281  & -1.0082  & -4.6015  & -0.1641  & -0.2632  & -0.3574  & -0.3489  & 251567.7010  \\  [0.75ex] 
 & (Std) 
 & (0.0771)  & (0.0654)  & (0.1207)  & (0.0349)  & (0.0889)  & (0.0609)  & (0.1121)  & (0.0391)  & (282303.4343)  \\  [0.75ex] 
 & ESS 
 & 146.5461  & 31.5521  & 6.8909  & 445.3262  & 209.3886  & 63.5722  & 6.4777  & 1272.8548  & 7.7575  \\  [0.75ex] 
[464.55 s]  & ESS/sec. 
 & 0.3155  & 0.0679  & 0.0148  & 0.9586  & 0.4507  & 0.1368  & 0.0139  & 2.7400  & 0.0167  \\  [1.3ex] 
\rowcolor{LightCyan}Bin10 & Mean 
 & 0.4971  & 1.3856  & -0.8967  & -4.6090  & -0.1535  & -0.2670  & -0.2834  & -0.3452  & 177132.7146  \\  [0.75ex] 
 & (Std) 
 & (0.0765)  & (0.0590)  & (0.0750)  & (0.0336)  & (0.1025)  & (0.0430)  & (0.0408)  & (0.0397)  & (116645.3300)  \\  [0.75ex] 
 & ESS 
 & 102.0135  & 18.7412  & 17.9678  & 1188.9894  & 63.9676  & 61.9602  & 18.4135  & 1464.3113  & 14.2037  \\  [0.75ex] 
[536.47 s]  & ESS/sec. 
 & 0.1902  & 0.0349  & 0.0335  & 2.2163  & 0.1192  & 0.1155  & 0.0343  & 2.7295  & 0.0265  \\  [1.3ex] 
\rowcolor{LightCyan}Bin20 & Mean 
 & 0.5215  & 1.4568  & -1.0379  & -4.5970  & -0.1615  & -0.2523  & -0.2943  & -0.3539  & 41909.6215  \\  [0.75ex] 
 & (Std) 
 & (0.0722)  & (0.0636)  & (0.0771)  & (0.0343)  & (0.0808)  & (0.0526)  & (0.0425)  & (0.0400)  & (17277.4707)  \\  [0.75ex] 
 & ESS 
 & 160.5191  & 68.2546  & 55.3104  & 724.4244  & 294.9542  & 95.5681  & 43.4231  & 1106.5177  & 89.3073  \\  [0.75ex] 
[474.46 s]  & ESS/sec. 
 & 0.3383  & 0.1439  & 0.1166  & 1.5268  & 0.6217  & 0.2014  & 0.0915  & 2.3322  & 0.1882  \\  [1.3ex] 
\rowcolor{LightCyan}Bin30 & Mean 
 & 0.5186  & 1.4838  & -1.0834  & -4.5931  & -0.1581  & -0.2290  & -0.3049  & -0.3553  & 34110.9647  \\  [0.75ex] 
 & (Std) 
 & (0.0688)  & (0.0620)  & (0.0808)  & (0.0342)  & (0.0774)  & (0.0496)  & (0.0477)  & (0.0409)  & (11713.0357)  \\  [0.75ex] 
 & ESS 
 & 246.5759  & 62.4390  & 41.0004  & 551.1105  & 259.0545  & 67.9907  & 21.8277  & 994.6690  & 138.4527  \\  [0.75ex] 
[526.24 s]  & ESS/sec. 
 & 0.4686  & 0.1187  & 0.0779  & 1.0473  & 0.4923  & 0.1292  & 0.0415  & 1.8902  & 0.2631  \\  [1.3ex] 
\rowcolor{LightCyan} Exact & Mean 
 & 0.5004  & 1.4171  & -0.9817  & -4.6032  & -0.1583  & -0.2489  & -0.2972  & -0.3489  & 83917.6434  \\  [0.75ex] 
 & (Std) 
 & (0.0717)  & (0.0638)  & (0.1031)  & (0.0348)  & (0.0923)  & (0.0563)  & (0.0784)  & (0.0395)  & (66657.9342)  \\  [0.75ex] 
 & ESS 
 & 229.0470  & 22.1301  & 11.3307  & 351.9274  & 245.5277  & 98.7076  & 14.1357  & 847.2504  & 26.2788  \\  [0.75ex] 
[948.12 s]  & ESS/sec. 
 & 0.2416  & 0.0233  & 0.0120  & 0.3712  & 0.2590  & 0.1041  & 0.0149  & 0.8936  & 0.0277  \\  [1.3ex] 
 \\  \hline 
\multicolumn{11}{p{11cm}}{\footnotesize{ESS: at lag equal to the lowest order at which sample autocorrelation is not significant.}}  \\ 
\multicolumn{11}{p{11cm}}{\footnotesize{Computing times  (in seconds) in square brackets.}}  \\ 
\end{tabular}
\caption{Lapwings data: posterior means, standard deviations and effective sample sizes (ESS) of the model parameters for $M=10,000$ posterior draws after a burn-in of $10,000$.}
\label{tab:BKM_theta_1}  
\end{table}
}} \normalsize